1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchBo Thiessonhttps://www.microsoft.com/en-us/research/people/thiesson/Markov Topic Models - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="ul6qHtlgAe"><a href="https://www.microsoft.com/en-us/research/publication/markov-topic-models/">Markov Topic Models</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/markov-topic-models/embed/#?secret=ul6qHtlgAe" width="600" height="338" title="“Markov Topic Models” — Microsoft Research" data-secret="ul6qHtlgAe" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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We develop Markov topic models (MTMs), a novel family of generative probabilistic models that can learn topics simultaneously from multiple corpora, such as papers from different conferences. We apply Gaussian (Markov) random fields to model the correlations of different corpora. MTMs capture both the internal topic structure within each corpus and the relationships between topics […]